Poudel, NareshTrivedi, ArjunOveissi, ParhamYu, MeilinGoel, AnkitHrynuk, John T.2023-03-032023-03-032023-01-19Poudel, Naresh, et al. "Learning-based Adaptive Gust Mitigation with Oscillating Wings" AIAA SCITECH 2023 Forum (23-27 January 2023). https://doi.org/10.2514/6.2023-0275.https://doi.org/10.2514/6.2023-0275http://hdl.handle.net/11603/26946AIAA SCITECH 2023 Forum 23-27 January 2023 National Harbor, MD & OnlineThis paper investigates the application of a learning-based adaptive controller to mitigate the effect of gust on the lift generated by an airfoil in an unsteady flow environment. A high-order accurate CFD model is used to model the unsteady flow over a pitching airfoil. Open-loop simulations of the CFD model are used to ascertain feasible lift commands. The learning-based adaptive controller is based on the retrospective cost adaptive control (RCAC). First, RCAC is used to regulate the lift coefficient of the airfoil in a nominal case without gust. Next, the effect of the hyperparameters of the adaptive control on the closed-loop performance is investigated. Finally, we used RCAC to regulate the lift coefficient and mitigated the effect of gust on the airfoil.10 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.UMBC High Performance Computing Facility (HPCF)Text